research
∙
10/31/2022
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
Federated learning makes it possible to train a machine learning model o...
share
research
∙
01/21/2022
Health literacy in e-oncology care: challenges and strategies
Given the impact of health literacy (HL) on patients outcomes, limited h...
research
∙
01/20/2022
AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline
Artificial intelligence (AI), especially deep learning, requires vast am...
research
∙
10/01/2021
Predicting erectile dysfunction after treatment for localized prostate cancer
While the 10-year survival rate for localized prostate cancer patients i...
research
∙
09/06/2021
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
Radiomics is an active area of research focusing on high throughput feat...
research
∙
07/06/2021
A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry
Cancer registries collect multisource data and provide valuable informat...
research
∙
04/30/2021
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
Radiomics is an active area of research in medical image analysis, the l...
research
∙
04/29/2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
Early diagnosis of lung cancer is a key intervention for the treatment o...
research
∙
07/21/2020
Nine Recommendations for Decision Aid Implementation from the Clinician Perspective
Background: Shared decision-making (SDM) aims to empower patients to tak...
research
∙
12/02/2018